{"id":"W2012631113","doi":"10.1364/laop.2014.lm3c.2","title":"Broadband Low Phase Noise and RF-Free Optical Pulse Generation for Hybrid Integration","year":2014,"lang":"en","type":"article","venue":"Latin America Optics and Photonics Conference","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Broadband; Phase noise; Pulse (music); Radio frequency; Noise (video); Optics; Optoelectronics; Pulse shaping; Phase (matter); Materials science; Four-wave mixing; Electronic engineering; Physics; Computer science; Nonlinear optics; Telecommunications; Engineering; Laser","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730169,0.0002047834,0.0002779535,0.00004145124,0.0001232743,0.0001471579,0.0001899949,0.00006460911,0.00002098961],"category_scores_gemma":[0.0001864296,0.0002070932,0.00003242808,0.00008462904,0.0001204204,0.0001350679,0.00007368272,0.0001789948,0.000002339852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002974397,"about_ca_system_score_gemma":0.000027036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289453,"about_ca_topic_score_gemma":0.00002070983,"domain_scores_codex":[0.9990346,0.00002830738,0.0003394961,0.0002626854,0.0001203063,0.0002145471],"domain_scores_gemma":[0.9988221,0.0002415766,0.00008776714,0.0005730225,0.0001409853,0.0001345652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001244241,0.0001595367,0.00005037692,0.0002778137,0.00008420479,0.000001648686,0.0016641,0.01130072,0.4863997,0.04273382,0.0004470518,0.4567567],"study_design_scores_gemma":[0.001112688,0.0001562489,0.00003214424,0.0000421552,0.00002152439,0.000008241269,0.00006492052,0.9677005,0.02325868,0.001193647,0.00616279,0.0002464673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3497011,0.0003189856,0.6455345,0.000124363,0.0001525955,0.0005069497,0.00007631226,0.000109374,0.003475896],"genre_scores_gemma":[0.9281436,0.0008942396,0.0705293,0.00007509491,0.0000431249,0.0001200604,0.0001056283,0.0000310507,0.00005795166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563998,"threshold_uncertainty_score":0.8445017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257491627103529,"score_gpt":0.2609178591905408,"score_spread":0.2383429429195055,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}